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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

One of the most notable areas where data analytics is making big changes is healthcare. In fact, healthcare analytics has the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases, and improve the quality of life in general. Download our free bite-sized summary and see our top examples!

Big Data 364
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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business.

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Increase Analytics Influence: Leverage Predictive Metrics!

Occam's Razor

If you want to deepen the influence of data in your organization – and your personal influence – 30% of your analytics efforts should be centered around the use of forward-looking metrics. In a delightfully wonderful development, every analytics tool worth its salt is adding Predictive Metrics to its arsenal. Bounce Rate.

Metrics 142
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Monitor and Address Anomalies to Keep Your Business On Track!

Smarten

Augmented Analytics Can Provide Monitoring, Alerts, and an Understanding of Crucial Relationships! For example: An Unanticipated Problem is, by definition, unexpected, and may or may not result in an adverse event. It may involve increased risk, or harm. For business professionals, there are never enough hours in the day.

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Process mining helps IT leaders modernize business operations

CIO Business Intelligence

To do that, McIntosh and OMES turned to process mining, a technique for analyzing event data to better understand and improve operational processes. Among the goals were to gain greater insight into procurement, slash maverick spending, cut audit times, and reduce legal and financial risks to the state.

IT 131
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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. Database cluster – For this solution, we use an Amazon Aurora MySQL-Compatible Edition 8.0 version cluster.

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How To Improve Your Facility Management With Healthcare Reports

datapine

Like many of today’s most important industries, digital data, metrics and KPIs (key performance indicators) are a part of a bright and prosperous future – and a comprehensive healthcare report has the power to deliver in each of these critical areas. Preventative management. Disease monitoring.

Reporting 198